Senior Living Data Analyst

Cobalt Recruitment; London; On-site; GBP 45,000 - 60,000; Full time

Job summary

A leading global property consultancy is seeking a Senior Analyst to transform complex datasets into impactful strategies for the seniors housing market. This role offers autonomy and the opportunity to influence key business decisions within a supportive and innovative environment.

Qualifications

• 3-5 years' experience in data analytics, ideally in real estate.
• Advanced proficiency in data modelling tools.
• Strong coding skills in Python or similar languages.

Responsibilities

• Analyse datasets to produce actionable insights.
• Develop and automate data modelling processes.
• Collaborate with stakeholders on reports and presentations.

Skills

Data Analysis

Data Modelling

Python

Data Visualisation

Collaboration

Tools

Power BI

ArcGIS

SQL

Job description

Senior Analyst - Seniors Housing Research

Role Summary

As a Senior Analyst, you will play a pivotal role turning complex datasets into strategic insights. You will have autonomy, flexibility, and the opportunity to shape decisions across a thriving, high-profile sector. You will join a respected global property consultancy with a supportive culture that values innovation, diversity, and professional growth. With expertise spanning commercial and residential sectors, your role will directly influence business strategy.

Key Responsibilities

• Analyse external and internal datasets to produce actionable insights for seniors housing market strategies.
• Develop and automate data modelling processes, creating impactful visualisations and dashboards.
• Collaborate closely with internal stakeholders, contributing directly to market-leading reports and client presentations.
• Provide rapid responses to ad-hoc data requests, enabling informed business decisions.
• Identify and communicate key market trends to shape consultancy, valuation, and agency strategies.

Role Requirements

• 3-5 years' professional experience in data analytics, ideally within real estate or property consultancy.
• Advanced proficiency in data modelling and analytics tools (Power BI, ArcGIS, Flourish).
• Strong coding skills in Python or similar languages.
• Solid understanding of real estate data sources (e.g., Co-Star, RCA, Property Data).
• Familiarity with geospatial analysis software (e.g., ArcGIS Pro) and SQL databases.